Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of yeast mutant at fast growth rates

ABSTRACT: Our approach for the identification and quantification of growth control by the components of yeast cells relies on two complementary screens: In the first, growth rate is changed and the effect on the concentration of cell components is measured (Castrillo et al. 2007, Genome Biology, 6,4). In the second, the concentration of the components is changed (by reducing gene copy number) and the effect on growth rate is measured (Delneri et al., 2008, Nat Gen, 40, 113). The heterozygous deletant (hemizygote) library we use is composed of diploid mutants each lacking one copy of a different gene (Giaever et al., 2002, Nature, 418, 387). When such a pool of mutants is grown in competition, some will grow slower than the others due to their particular mutation. Over time, the proportion of these mutants in the population will decrease a phenotype termed `haploinsufficient. Conversely, some mutants will have a growth-rate advantage and so will increase their proportion in the population; we call these strains `haploproficient. Screening a pool of hemizygotes for their haploinsufficiency (HI)/haploproficiency (HP) phenotypes thus identifies cellular components that have high flux control (HFC) over growth rate. We found that genes that are major controllers of growth rate under nutrient-limitation are not, themselves, subject to growth rate control of their transcription. In this study we have investigated the generality of this rule, first by identifying HFC genes in turbidostat culture, where biomass concentration sets the rate of nutrient addition, growing at the maximum rate (mmax=0.32h-1) permitted by the complex defined medium (FPM) employed. And to study growth-rate effects, competition experiments were performed at higher growth rates (D=0.2h-1 and 0.3h-1) in nitrogen-limited chemostats and, to control for the effect of nitrogen limitation, in FPM using a chemostat at D=0.3h-1 (Pir et al., manuscript in preparation)

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: Pinar Pir

PROVIDER: E-TABM-892 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Background: Evolutionary engineering is a powerful approach to isolate suppressor mutants and industrially relevant genotypes. Until recently, DNA microarray analysis was the only affordable genome-wide approach to identify the responsible mutations. This situation has changed due to the rapidly decreasing costs of whole genome (re)sequencing. DNA microarray-based mRNA expression analysis and whole genome resequencing were combined in a study on lactate transport in Saccharomyces cerevisiae. Jen1p is the only S. cerevisiae lactate transporter reported in literature. To identify alternative lactate transporters, a jen1Δ strain was evolved for growth on lactate. Results: Two independent evolution experiments yielded Jen1p-independent growth on lactate (μmax 0.14 and 0.18 h-1 for single-cell lines IMW004 and IMW005, respectively). Whereas mRNA expression analysis did not provide leads, whole-genome resequencing showed different single nucleotide changes (C755G/Leu219Val and C655G/Ala252Gly) in the acetate transporter gene ADY2. Analysis of mRNA levels and depth of coverage of DNA sequencing combined with karyotyping, gene deletions and diagnostic PCR showed that in IMW004 an isochromosome III (~475 kb), which contains two additional copies of ADY2C755G, was formed via crossover between YCLWΔ15 and YCRCΔ6. Introduction of the ADY2 alleles in a jen1 ady2 strain resulted in growth on lactate (μmax 0.14 h-1 for Ady2pLeu219Val and 0.12 h-1 for Ady2pAla252Gly). Conclusions: Whole-genome resequencing of yeast strains obtained from independent evolution experiments enabled rapid identification of a key gene that was not identified by mRNA expression analysis of the same strains. Reverse metabolic engineering showed that mutated alleles of ADY2 (C655G and C755G) encode efficient lactate transporters. The goal of the present study was to investigate whether evolutionary engineering and subsequent elucidation of the underlying mutations can lead to the identification of alternative lactate transporters in S. cerevisiae. Transport of carboxylic acids plays a key role in weak organic acids stress and the responsible membrane transporters are often poorly studied and encoded by multiple redundant genes . Additionally, import of lactate is an essential step in the reutilization of lactate produced during intense exercise in mammals [8]. In S. cerevisiae, Jen1p was previously identified as the only efficient lactate importer by generation of a UV-mutant unable to grow on lactate and subsequent functional complementation with a genomic library . The lactate uptake rate of the resulting jen1 knockout strain was close to the detection limit. Interestingly, export of lactate in engineered lactate producing S. cerevisiae is unaffected by deletion of JEN1 (our unpublished results). These observations suggest the presence of at least one alternative lactate transporter. To test this, a jen1 knockout strain was constructed and evolved for faster growth on lactate as the sole carbon and energy source. The evolved strains were subjected to a combination of mRNA expression analysis and whole genome DNA (re)sequencing to identify the relevant mutations. The resulting leads were tested for lactate transport activity via knockout studies in the evolved strains and reverse engineering of the portable genetic elements into non-evolved strains.

Project description:Background Zymomonas mobilis ZM4 is a capable ethanologenic bacterium with high ethanol productivity and ethanol tolerance. Previous studies indicated that several stress-related proteins and changes in the ZM4 membrane lipid composition may contribute to ethanol tolerance. However, the molecular mechanisms of its ethanol stress response have not been elucidated fully. Methodology/Principal Findings In this study, ethanol stress responses were investigated using systems biology approaches. Medium supplementation with an initial 47 g/L (6% v/v) ethanol reduced Z. mobilis ZM4 glucose consumption, growth rate and ethanol productivity compared to that of untreated controls. A proteomic analysis of early exponential growth identified about one thousand proteins, or approximately 55% of the predicted ZM4 proteome. Proteins related to metabolism and stress response such as chaperones and key regulators were more abundant in the early ethanol stress condition. Transcriptomic studies indicated that the response of ZM4 to ethanol is dynamic, complex and involves many genes from all the different functional categories. Most down-regulated genes were related to translation and ribosome biogenesis, while the ethanol-upregulated genes were mostly related to cellular processes and metabolism. Transcriptomic data were used to update Z. mobilis ZM4 operon models. Furthermore, correlations among the transcriptomic, proteomic and metabolic data were examined. Among significantly expressed genes or proteins, we observe higher correlation coefficients when fold-change values are higher. Conclusions Our study has provided insights into the responses of Z. mobilis to ethanol stress through an integrated “omics” approach for the first time. This systems biology study elucidated key Z. mobilis ZM4 metabolites, genes and proteins that form the foundation of its distinctive physiology and its multifaceted response to ethanol stress. A sixteen array study using total RNA recovered from wild-type cultures of Zymomonas mobilis subsp mobilis ZM4 at different time points of 6, 10, 13.5, and 26h post-inoculation with 6% (v/v) treatment compred to that of control without ethanol supplementation. Two biological replicates for treatment and control condition.

Project description:This work was designed to identify yeast cellular functions specifically affected by the stress factors predominating during the first stages of wine fermentation and genes required for optimal growth under these conditions. The main experimental method used was quantitative fitness analysis by means of competition experiments of whole genome barcoded yeast knock-out collections in continuous culture. This methodology allowed the identification of haploinsufficient genes and homozygous deletions resulting in growth impairment in synthetic must. However, genes identified as haploproficient or homozygous deletions resulting in fitness advantage were of little predictive power concerning optimal growth in this medium. The relevance of these functions for enological performance of yeast was assessed in batch cultures with single strains. Previous studies addressing yeast adaptation to winemaking conditions by quantitative fitness analysis, were not specifically focused on the proliferative stages, and their results were greatly dependent on the effects of gene deletions on yeast survival during stationary phase. Since biomass production has a great influence on the whole fermentation kinetics, focusing on the proliferative stages of the fermentation process has practical implications. In some instances our results highlight the importance of genes not previously linked to winemaking. In other cases our results are complementary to those reported in previous studies concerning, for example, the relevance of some genes involved in vacuolar, peroxisomal, or ribosomal functions. Transport processes and glucose signaling seem to be negatively affected by the stress factors encountered by yeast in synthetic must. Vacuolar activity is important for continued growth during the transition to stationary phase. Finally, reduced biogenesis of peroxisomes also seems to be advantageous. However, in contrast to what was described for later stages, reduced protein synthesis is not advantageous for the first stages of the fermentation, when most cell proliferation takes place. Competition experiments of the genome-wide collections of mutants were performed in triplicate using conditions that mimicked Phases I or II of a batch fermentation (equivalent to around 14 and 22 hours after inoculation of a batch fermentation, respectively), as well as on YPD (complete medium) for reference purposes. To this end, different feed formulations were used. One mL of either the homozygote or heterozygote pool stored at -80 ºC was added to 50 mL of YPD broth supplemented with 200 µg/mL G418 and incubated overnight at 28 °C and 150 rpm to serve as inoculum for the competition experiments. Samples were taken before the onset of the continuous culture as t=0 (preculture) references. Variations in pool composition were always estimated against the cognate preculture (most often a single preculture served as inoculum for several competitions). After 10 or 20 generations in continuous culture, samples of cells were used for the genomic DNA extraction. lification of the barcodes (uptags and downtags), hybridization, and scanning were performed according to the protocol described elsewhere [Pierce SE, Davis RW, Nislow C, Giaever G (2007) Genome-wide analysis of barcoded Saccharomyces cerevisiae gene-deletion mutants in pooled cultures. Nat Protocols 2: 2958-2974]. Slight modifications concerning the hybridization of Tag4 microarrays by using reagents and protocols from the GeneChip Hybridization, Wash and Stain Kit (Affymetrix) were made.

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Transcription profiling of yeast mutant at fast growth rates

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